Capital One

AI Engineer

• Partner with cross-functional engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Leverage Open Source and SaaS AI technologies including AWS Ultraclusters, Hugging Face, VectorDBs, NeMo Guardrails, and PyTorch
• Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of large-scale production AI systems
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One

Senior AI Engineer, AI Foundations

• Partner with cross-functional engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, NeMo Guardrails, and PyTorch
• Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of large-scale production AI systems
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One

Lead AI Engineer – Gen AI Platform Services

Product Manager

• Manage feature development across a platform transforming Risk Management with technology
• Serve as Product Manager for a high-performing Technology team
• Collaborate with Product, Technology, Design, users, and risk advisors to identify, prioritize, and deliver product enhancements and new features
• Manage multiple deliverables simultaneously while maintaining attention to detail and clear communication
• Build relationships and influence decision-makers using grounded information
• Lead cross-functional teams to solve customer problems and drive organizational alignment
• Apply the Product Framework across human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership practices

Senior Manager, Product Management – Enterprise Services Risk

Developer Relations

• Reimagine the status quo and identify value creation opportunities
• Drive innovative and sustainable customer experiences through technology
• Drive platforms powering digital engagement for customers and tools for developers
• Support mobile app, marketing and personalization engines, AI-driven platforms, enterprise risk and supplier capabilities
• Modernize core systems, strengthen risk posture, and deliver seamless experiences at scale
• Apply human-centered, business-focused, technology-driven, integrated problem-solving, and transformational leadership principles
• Lead cross-functional teams to solve customer problems and drive organizational alignment

Senior Manager, Product Management – Consumer and Developer Experience

• Scale high-growth enterprise tokenization solutions protecting highly sensitive data across third-party ecosystems
• Partner with cross-functional teams and Lines of Business to analyze complex data-sharing patterns
• Ship new technical capabilities and build integration patterns enabling secure external data sharing at enterprise scale
• Build core SDKs and APIs that developers use to automatically protect data
• Collaborate with external third-party partners to safely integrate them into the ecosystem
• Reimagine and innovate product solutions around internal and external customer needs
• Deliver outcomes through leverage and execution excellence
• Leverage technology to deliver innovative and resilient solutions
• Identify and resolve complex problems while mitigating product risks
• Lead cross-functional teams to solve customer problems and drive organizational alignment

Manager, Product Management – Data

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Oversee design, development, testing, deployment, and support of AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Make build-versus-buy decisions across open-source and SaaS AI technologies
• Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of large-scale production AI systems
• Contribute to the technical vision and long-term roadmap of foundational AI systems
• Attract and retain AI talent and nurture team members' personal and professional development
• Mentor and coach team members and foster a culture of learning and staying current with AI developments

Director, AI Engineering

Technical Program Manager

• Lead programs that deliver on critical business goals and build large-scale products and platforms
• Drive architectural alignment, technical strategy, and execution of organizational objectives and key results
• Improve scalability and system resilience within the global payment network engineering lifecycle
• Own complex technical dependencies and cross-functional engineering roadmaps
• Deliver robust global financial infrastructure
• Identify and mitigate technical risks throughout the delivery lifecycle
• Simplify technically complex issues and drive informed decisions across product, engineering, design, and data science
• Secure commitments on deliverables and unblock teams to achieve business impact
• Help expand the technical program management discipline by teaching the organization what effective TPM practices can achieve
• Collaborate across functions, organizations, and reporting boundaries

Senior Manager, Technical Program Management

Operations

• Lead and own enablement projects and initiatives using data and process management methodologies
• Drive value from opportunity identification through solution, implementation, adoption, and measurement
• Identify enablement opportunities from incident trends, associate pain points, and business needs
• Drive solutions through implementation and adoption
• Innovate and drive solutions to reduce or resolve frequent technical issues
• Identify and support practical AI and emerging technology use cases to improve productivity and processes
• Develop communications, resources, and enablement strategies to drive successful adoption
• Use data to uncover root causes, enhance problem-solving, and mitigate risks
• Monitor sources for incident and alerting needs and capture/refine incident data
• Support stakeholder communication and collaboration, including preparing reporting and materials for business reviews and analysis

Senior Associate, Process Manager – SAFE

• Lead and own the core authorization domain within the Global Payments Network Product team
• Manage authorization decisioning, rules and configuration, routing, resiliency, and trust capabilities
• Ensure transactions are authorized correctly, securely, and reliably at scale across DN, DCI, PULSE, and other schemes
• Set high standards for change control, testing, and uptime
• Define boundaries between core authorization and adjacent domains such as boarding, client servicing, settlement, regulatory/risk, and data & insights
• Partner with peer domain owners, product, and risk/compliance stakeholders during platform migration and cutover
• Reimagine product solutions around customer needs and drive innovative, resilient technology-enabled outcomes
• Lead cross-functional teams, resolve complex problems, mitigate product risks, and drive organizational alignment

Senior Director, Product Management – Global Payment Network

Customer Success Manager

• Operate as a strategic consultant and customer-centric partner to auto dealers within the Capital One Sales Process
• Partner with POD counterparts to strategize and achieve sales success
• Support efforts to gain and retain Navigator Platform subscribers
• Provide specialized expertise during initial pitches and closing techniques
• Own seamless setup, expert training, and strategic ROI conversations
• Educate and gain buy-in from key auto dealer stakeholders
• Collaborate with the Area Sales Manager and POD team members to develop and execute market strategies and achieve sales goals
• Support Navigator Platform sales efforts and own the customer adoption and retention lifecycle
• Drive process improvements aligned with customer outcomes and the Capital One Sales Process
• Provide subject matter expertise on processes and Navigator Platform while representing Sales
• Troubleshoot product and process issues related to Navigator Platform
• Conduct frequent in-market dealership visits to foster relationships and execute customer enablement

Dealer Success Manager

Risk

• Define and implement the future of payments governance across the enterprise
• Tackle major payments-related challenges and elevate day-to-day governance practices
• Collaborate with cross-functional stakeholders to maintain a dynamic, resilient, and well-managed payments ecosystem
• Partner with executive leadership to shape governance strategy and drive critical initiatives aligned with business priorities
• Design data-driven risk reporting frameworks that translate risk metrics into actionable executive insights
• Identify and deploy Generative AI and automation tools to eliminate manual risk monitoring and modernize workflows
• Partner with data analytics teams to build dynamic, real-time dashboards for proactive trend analysis and early risk identification
• Connect data strategy with 1st and 2nd Line of Defense teams to align with the Enterprise Risk Management framework
• Lead cross-functional reporting efforts on behalf of EPGO and consult with executive leadership to enable enterprise-wide risk initiatives

Manager, Payment Risk Transformation

• Apply risk management, project management and analytical skills to high-profile risk initiatives
• Identify and mitigate potential risks to Capital One
• Lead, advise and innovate on transformational initiatives across business lines
• Work with business teams and stakeholders to develop products, processes, marketing, supporting technologies and risk management practices
• Support risk/return trade-off decisions
• Lead risk framework discussions and drive solutions to improve the risk profile
• Participate in risk forums and business reporting routines
• Lead ad-hoc projects to improve processes or the control environment
• Synthesize data and reporting, perform analysis, and provide proactive business insights
• Deliver results and improvements aligned with business and risk agendas
• Monitor regulatory changes and assess impacts on supported business areas
• Collaborate across risk, compliance, legal, privacy, operations and enterprise management functions
• Partner with internal business clients and key stakeholders
• Drive cross-functional opportunities to improve brand, processes and risk management
• Set direction, manage expectations and lead cross-functional teams

Senior Manager, Card Risk – Vertical Risk Manager

• Help streamline corporate investigations for the Office of Corporate Integrity
• Perform new feature discovery for a mid-sized investigation team
• Support partner teams including data analysts, advisory, and operations
• Manage the roadmap, feature priority, and workload for a small internal technology pod
• Support and manage vendor-built solutions for Conflicts of Interest and Gifts & Entertainment
• Optimize team outcomes through well-managed practices and prioritization of high-priority work
• Demonstrate proficiency in human-centered, business-focused, technology-driven, integrated problem-solving, and transformational-leadership product management

Manager, Product Management – Office of Corporate Integrity

Data Engineer

• Collaborate across Agile teams to design, develop, test, implement, and support technical solutions using full-stack development tools and technologies
• Lead a team of developers experienced in machine learning, distributed microservices, and full-stack systems
• Use Java, Scala, Python, open-source RDBMS and NoSQL databases, and cloud-based data warehousing services such as Redshift and Snowflake
• Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineering community members
• Collaborate with digital product managers to deliver robust cloud-based solutions that create powerful experiences for millions of Americans
• Perform unit tests and conduct code reviews to ensure rigorously designed, elegant, and performance-tuned code
• Build scalable platforms delivering omnichannel messages across owned and paid Adtech channels

Senior Lead Data Engineer – Java, Python, Scala, AWS

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
• Design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
• Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, NeMo Guardrails, and PyTorch
• Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of large-scale production AI systems
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One